Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	98913
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	13.2 MiB
Average record size in memory	140.0 B

Variable types

Numeric	12
Categorical	5
Boolean	4

Warnings

`countryCode` has a high cardinality: 199 distinct values	High cardinality
`seniority` is highly correlated with `seniorityAsYears`	High correlation
`seniorityAsYears` is highly correlated with `seniority`	High correlation
`gender` is highly correlated with `civilityGenderId` and 1 other fields	High correlation
`civilityGenderId` is highly correlated with `gender` and 1 other fields	High correlation
`civilityTitle` is highly correlated with `gender` and 1 other fields	High correlation
`socialNbFollowers` is highly skewed (γ1 = 88.81691016)	Skewed
`socialNbFollows` is highly skewed (γ1 = 220.8766787)	Skewed
`socialProductsLiked` is highly skewed (γ1 = 244.1577429)	Skewed
`productsListed` is highly skewed (γ1 = 64.89321853)	Skewed
`productsSold` is highly skewed (γ1 = 41.59563253)	Skewed
`productsWished` is highly skewed (γ1 = 49.25695941)	Skewed
`productsBought` is highly skewed (γ1 = 84.79735987)	Skewed
`identifierHash` has unique values	Unique
`socialProductsLiked` has 82987 (83.9%) zeros	Zeros
`productsListed` has 97189 (98.3%) zeros	Zeros
`productsSold` has 96877 (97.9%) zeros	Zeros
`productsPassRate` has 97979 (99.1%) zeros	Zeros
`productsWished` has 89612 (90.6%) zeros	Zeros
`productsBought` has 93494 (94.5%) zeros	Zeros

Reproduction

Analysis started	2021-02-15 18:14:23.029439
Analysis finished	2021-02-15 18:16:22.326457
Duration	1 minute and 59.3 seconds
Software version	pandas-profiling v2.10.1
Download configuration	config.yaml

identifierHash
Real number (ℝ)

UNIQUE

Distinct	98913
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-6.692038995 × 10¹⁵
Minimum	-9.223101126 × 10¹⁸
Maximum	9.223330728 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Memory size	772.9 KiB

Quantile statistics

Minimum	-9.223101126 × 10¹⁸
5-th percentile	-8.30032878 × 10¹⁸
Q1	-4.622894617 × 10¹⁸
median	-1.337988846 × 10¹⁵
Q3	4.616388118 × 10¹⁸
95-th percentile	8.305984346 × 10¹⁸
Maximum	9.223330728 × 10¹⁸
Range	-3.122194426 × 10¹⁴
Interquartile range (IQR)	9.239282735 × 10¹⁸

Descriptive statistics

Standard deviation	5.33080688 × 10¹⁸
Coefficient of variation (CV)	-796.5893332
Kurtosis	-1.201867217
Mean	-6.692038995 × 10¹⁵
Median Absolute Deviation (MAD)	4.619299754 × 10¹⁸
Skewness	0.001133563788
Sum	2.153133565 × 10¹⁸
Variance	2.8417502 × 10³⁷
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.86001103 × 10¹⁸	1	< 0.1%
-8.302234935 × 10¹⁸	1	< 0.1%
-7.914149281 × 10¹⁸	1	< 0.1%
6.582480496 × 10¹⁸	1	< 0.1%
-8.950562328 × 10¹⁸	1	< 0.1%
-8.021904012 × 10¹⁸	1	< 0.1%
-4.962304304 × 10¹⁸	1	< 0.1%
-4.149872466 × 10¹⁸	1	< 0.1%
2.092426645 × 10¹⁸	1	< 0.1%
6.002771697 × 10¹⁸	1	< 0.1%
Other values (98903)	98903	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-9.223101126 × 10¹⁸	1	< 0.1%
-9.223057731 × 10¹⁸	1	< 0.1%
-9.222867488 × 10¹⁸	1	< 0.1%
-9.222666406 × 10¹⁸	1	< 0.1%
-9.222346324 × 10¹⁸	1	< 0.1%

Value	Count	Frequency (%)
9.223330728 × 10¹⁸	1	< 0.1%
9.223304665 × 10¹⁸	1	< 0.1%
9.222858252 × 10¹⁸	1	< 0.1%
9.222779374 × 10¹⁸	1	< 0.1%
9.222469665 × 10¹⁸	1	< 0.1%

language
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	772.9 KiB

en	51564
fr	26372
it	7766
de	7178
es	6033

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	197826
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	en
2nd row	en
3rd row	fr
4th row	en
5th row	en

Value	Count	Frequency (%)
en	51564	52.1%
fr	26372	26.7%
it	7766	7.9%
de	7178	7.3%
es	6033	6.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
en	51564	52.1%
fr	26372	26.7%
it	7766	7.9%
de	7178	7.3%
es	6033	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	64775	32.7%
n	51564	26.1%
f	26372	13.3%
r	26372	13.3%
i	7766	3.9%
t	7766	3.9%
d	7178	3.6%
s	6033	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	197826	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	64775	32.7%
n	51564	26.1%
f	26372	13.3%
r	26372	13.3%
i	7766	3.9%
t	7766	3.9%
d	7178	3.6%
s	6033	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	197826	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	64775	32.7%
n	51564	26.1%
f	26372	13.3%
r	26372	13.3%
i	7766	3.9%
t	7766	3.9%
d	7178	3.6%
s	6033	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197826	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	64775	32.7%
n	51564	26.1%
f	26372	13.3%
r	26372	13.3%
i	7766	3.9%
t	7766	3.9%
d	7178	3.6%
s	6033	3.0%

socialNbFollowers
Real number (ℝ_≥0)

SKEWED

Distinct	90
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.432268761
Minimum	3
Maximum	744
Zeros	0
Zeros (%)	0.0%
Memory size	772.9 KiB

Quantile statistics

Minimum	3
5-th percentile	3
Q1	3
median	3
Q3	3
95-th percentile	5
Maximum	744
Range	741
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.882383028
Coefficient of variation (CV)	1.131141906
Kurtosis	14415.30703
Mean	3.432268761
Median Absolute Deviation (MAD)	0
Skewness	88.81691016
Sum	339496
Variance	15.07289798
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	84939	85.9%
4	8219	8.3%
5	2720	2.7%
6	813	0.8%
7	539	0.5%
8	336	0.3%
9	235	0.2%
10	164	0.2%
11	121	0.1%
12	99	0.1%
Other values (80)	728	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	84939	85.9%
4	8219	8.3%
5	2720	2.7%
6	813	0.8%
7	539	0.5%

Value	Count	Frequency (%)
744	1	< 0.1%
353	1	< 0.1%
205	1	< 0.1%
176	1	< 0.1%
172	1	< 0.1%

socialNbFollows
Real number (ℝ_≥0)

SKEWED

Distinct	85
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.42567711
Minimum	0
Maximum	13764
Zeros	39
Zeros (%)	< 0.1%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	8
median	8
Q3	8
95-th percentile	8
Maximum	13764
Range	13764
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	52.83957192
Coefficient of variation (CV)	6.271255262
Kurtosis	52718.3891
Mean	8.42567711
Median Absolute Deviation (MAD)	0
Skewness	220.8766787
Sum	833409
Variance	2792.02036
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	94893	95.9%
9	2386	2.4%
10	618	0.6%
11	260	0.3%
12	148	0.1%
13	94	0.1%
15	55	0.1%
14	53	0.1%
7	52	0.1%
0	39	< 0.1%
Other values (75)	315	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39	< 0.1%
1	5	< 0.1%
2	8	< 0.1%
3	6	< 0.1%
4	11	< 0.1%

Value	Count	Frequency (%)
13764	1	< 0.1%
8268	1	< 0.1%
3649	1	< 0.1%
2013	1	< 0.1%
500	1	< 0.1%

socialProductsLiked
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	420
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.420743482
Minimum	0
Maximum	51671
Zeros	82987
Zeros (%)	83.9%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	8
Maximum	51671
Range	51671
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	181.0305695
Coefficient of variation (CV)	40.95025423
Kurtosis	67765.24122
Mean	4.420743482
Median Absolute Deviation (MAD)	0
Skewness	244.1577429
Sum	437269
Variance	32772.06708
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	82987	83.9%
1	5261	5.3%
2	1898	1.9%
3	1215	1.2%
4	973	1.0%
5	644	0.7%
6	532	0.5%
7	436	0.4%
8	359	0.4%
9	316	0.3%
Other values (410)	4292	4.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	82987	83.9%
1	5261	5.3%
2	1898	1.9%
3	1215	1.2%
4	973	1.0%

Value	Count	Frequency (%)
51671	1	< 0.1%
16040	1	< 0.1%
7044	1	< 0.1%
5979	1	< 0.1%
5598	1	< 0.1%

productsListed
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	65
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.09330421684
Minimum	0
Maximum	244
Zeros	97189
Zeros (%)	98.3%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	244
Range	244
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.050143546
Coefficient of variation (CV)	21.97267835
Kurtosis	5760.301256
Mean	0.09330421684
Median Absolute Deviation (MAD)	0
Skewness	64.89321853
Sum	9229
Variance	4.203088557
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	97189	98.3%
1	808	0.8%
2	278	0.3%
3	150	0.2%
4	98	0.1%
5	62	0.1%
6	45	< 0.1%
7	40	< 0.1%
8	29	< 0.1%
10	22	< 0.1%
Other values (55)	192	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	97189	98.3%
1	808	0.8%
2	278	0.3%
3	150	0.2%
4	98	0.1%

Value	Count	Frequency (%)
244	1	< 0.1%
217	1	< 0.1%
202	1	< 0.1%
185	1	< 0.1%
123	1	< 0.1%

productsSold
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	75
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1215917018
Minimum	0
Maximum	174
Zeros	96877
Zeros (%)	97.9%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	174
Range	174
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.126895354
Coefficient of variation (CV)	17.49210943
Kurtosis	2355.673441
Mean	0.1215917018
Median Absolute Deviation (MAD)	0
Skewness	41.59563253
Sum	12027
Variance	4.523683846
Monotocity	Decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	96877	97.9%
1	917	0.9%
2	325	0.3%
3	154	0.2%
4	124	0.1%
5	58	0.1%
6	58	0.1%
7	45	< 0.1%
9	42	< 0.1%
8	31	< 0.1%
Other values (65)	282	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	96877	97.9%
1	917	0.9%
2	325	0.3%
3	154	0.2%
4	124	0.1%

Value	Count	Frequency (%)
174	1	< 0.1%
170	1	< 0.1%
163	1	< 0.1%
152	1	< 0.1%
125	1	< 0.1%

productsPassRate
Real number (ℝ_≥0)

ZEROS

Distinct	72
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.8123027307
Minimum	0
Maximum	100
Zeros	97979
Zeros (%)	99.1%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	100
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.500205194
Coefficient of variation (CV)	10.46433167
Kurtosis	114.0391218
Mean	0.8123027307
Median Absolute Deviation (MAD)	0
Skewness	10.66729865
Sum	80347.3
Variance	72.25348834
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	97979	99.1%
100	441	0.4%
66	63	0.1%
50	57	0.1%
75	42	< 0.1%
83	25	< 0.1%
90	25	< 0.1%
80	22	< 0.1%
85	20	< 0.1%
60	16	< 0.1%
Other values (62)	223	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	97979	99.1%
25	5	< 0.1%
28	2	< 0.1%
31	1	< 0.1%
33	8	< 0.1%

Value	Count	Frequency (%)
100	441	0.4%
99	1	< 0.1%
98.7	1	< 0.1%
98	8	< 0.1%
96.4	1	< 0.1%

productsWished
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	279
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.562595412
Minimum	0
Maximum	2635
Zeros	89612
Zeros (%)	90.6%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	2635
Range	2635
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	25.19279323
Coefficient of variation (CV)	16.12240317
Kurtosis	3369.163069
Mean	1.562595412
Median Absolute Deviation (MAD)	0
Skewness	49.25695941
Sum	154561
Variance	634.6768308
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	89612	90.6%
1	3375	3.4%
2	1339	1.4%
3	797	0.8%
4	526	0.5%
5	406	0.4%
6	299	0.3%
7	252	0.3%
8	176	0.2%
9	158	0.2%
Other values (269)	1973	2.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	89612	90.6%
1	3375	3.4%
2	1339	1.4%
3	797	0.8%
4	526	0.5%

Value	Count	Frequency (%)
2635	1	< 0.1%
1916	1	< 0.1%
1900	1	< 0.1%
1842	1	< 0.1%
1820	1	< 0.1%

productsBought
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	70
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1719288668
Minimum	0
Maximum	405
Zeros	93494
Zeros (%)	94.5%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	405
Range	405
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.332265666
Coefficient of variation (CV)	13.56529424
Kurtosis	11871.75975
Mean	0.1719288668
Median Absolute Deviation (MAD)	0
Skewness	84.79735987
Sum	17006
Variance	5.439463136
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	93494	94.5%
1	3297	3.3%
2	845	0.9%
3	364	0.4%
4	214	0.2%
5	139	0.1%
6	108	0.1%
7	65	0.1%
8	52	0.1%
9	40	< 0.1%
Other values (60)	295	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	93494	94.5%
1	3297	3.3%
2	845	0.9%
3	364	0.4%
4	214	0.2%

Value	Count	Frequency (%)
405	1	< 0.1%
279	1	< 0.1%
174	1	< 0.1%
115	1	< 0.1%
105	1	< 0.1%

gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	772.9 KiB

F	76121
M	22792

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	98913
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	F
3rd row	F
4th row	F
5th row	F

Value	Count	Frequency (%)
F	76121	77.0%
M	22792	23.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
f	76121	77.0%
m	22792	23.0%

Most occurring characters

Value	Count	Frequency (%)
F	76121	77.0%
M	22792	23.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	98913	100.0%

Most frequent character per category

Value	Count	Frequency (%)
F	76121	77.0%
M	22792	23.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98913	100.0%

Most frequent character per script

Value	Count	Frequency (%)
F	76121	77.0%
M	22792	23.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98913	100.0%

Most frequent character per block

Value	Count	Frequency (%)
F	76121	77.0%
M	22792	23.0%

civilityGenderId
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	772.9 KiB

2	75684
1	22792
3	437

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	98913
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	2

Value	Count	Frequency (%)
2	75684	76.5%
1	22792	23.0%
3	437	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	75684	76.5%
1	22792	23.0%
3	437	0.4%

Most occurring characters

Value	Count	Frequency (%)
2	75684	76.5%
1	22792	23.0%
3	437	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	98913	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	75684	76.5%
1	22792	23.0%
3	437	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	98913	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	75684	76.5%
1	22792	23.0%
3	437	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98913	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	75684	76.5%
1	22792	23.0%
3	437	0.4%

civilityTitle
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	772.9 KiB

mrs	75684
mr	22792
miss	437

Length

Max length	4
Median length	3
Mean length	2.773993307
Min length	2

Characters and Unicode

Total characters	274384
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	mr
2nd row	mrs
3rd row	mrs
4th row	mrs
5th row	mrs

Value	Count	Frequency (%)
mrs	75684	76.5%
mr	22792	23.0%
miss	437	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
mrs	75684	76.5%
mr	22792	23.0%
miss	437	0.4%

Most occurring characters

Value	Count	Frequency (%)
m	98913	36.0%
r	98476	35.9%
s	76558	27.9%
i	437	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	274384	100.0%

Most frequent character per category

Value	Count	Frequency (%)
m	98913	36.0%
r	98476	35.9%
s	76558	27.9%
i	437	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	274384	100.0%

Most frequent character per script

Value	Count	Frequency (%)
m	98913	36.0%
r	98476	35.9%
s	76558	27.9%
i	437	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274384	100.0%

Most frequent character per block

Value	Count	Frequency (%)
m	98913	36.0%
r	98476	35.9%
s	76558	27.9%
i	437	0.2%

hasAnyApp
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	96.7 KiB

False	72739
True	26174

Common Values
Chart

Value	Count	Frequency (%)
False	72739	73.5%
True	26174	26.5%

hasAndroidApp
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	96.7 KiB

False	94094
True	4819

Common Values
Chart

Value	Count	Frequency (%)
False	94094	95.1%
True	4819	4.9%

hasIosApp
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	96.7 KiB

False	77386
True	21527

Common Values
Chart

Value	Count	Frequency (%)
False	77386	78.2%
True	21527	21.8%

hasProfilePicture
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	96.7 KiB

True	97018
False	1895

Common Values
Chart

Value	Count	Frequency (%)
True	97018	98.1%
False	1895	1.9%

daysSinceLastLogin
Real number (ℝ_≥0)

Distinct	699
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	581.2912357
Minimum	11
Maximum	709
Zeros	0
Zeros (%)	0.0%
Memory size	772.9 KiB

Quantile statistics

Minimum	11
5-th percentile	43
Q1	572
median	694
Q3	702
95-th percentile	708
Maximum	709
Range	698
Interquartile range (IQR)	130

Descriptive statistics

Standard deviation	208.8558881
Coefficient of variation (CV)	0.3592964684
Kurtosis	1.388704906
Mean	581.2912357
Median Absolute Deviation (MAD)	11
Skewness	-1.675425192
Sum	57497260
Variance	43620.782
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
702	3838	3.9%
703	3792	3.8%
695	3677	3.7%
696	3565	3.6%
701	3516	3.6%
700	3397	3.4%
693	3384	3.4%
694	3368	3.4%
705	3328	3.4%
704	3284	3.3%
Other values (689)	63764	64.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11	811	0.8%
12	409	0.4%
13	344	0.3%
14	311	0.3%
15	235	0.2%

Value	Count	Frequency (%)
709	2910	2.9%
708	2857	2.9%
707	2797	2.8%
706	2643	2.7%
705	3328	3.4%

seniority
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3063.77187
Minimum	2852
Maximum	3205
Zeros	0
Zeros (%)	0.0%
Memory size	772.9 KiB

Quantile statistics

Minimum	2852
5-th percentile	2853
Q1	2857
median	3196
Q3	3201
95-th percentile	3205
Maximum	3205
Range	353
Interquartile range (IQR)	344

Descriptive statistics

Standard deviation	168.2986205
Coefficient of variation (CV)	0.05493183815
Kurtosis	-1.816504427
Mean	3063.77187
Median Absolute Deviation (MAD)	8
Skewness	-0.4270896795
Sum	303046867
Variance	28324.42566
Monotocity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3199	6366	6.4%
3198	6126	6.2%
2857	5984	6.0%
2856	5945	6.0%
3197	5686	5.7%
3196	5577	5.6%
3200	5496	5.6%
3201	5487	5.5%
3205	5310	5.4%
2855	5267	5.3%
Other values (9)	41669	42.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2852	2506	2.5%
2853	4824	4.9%
2854	5192	5.2%
2855	5267	5.3%
2856	5945	6.0%

Value	Count	Frequency (%)
3205	5310	5.4%
3204	5070	5.1%
3203	4921	5.0%
3202	4622	4.7%
3201	5487	5.5%

seniorityAsYears
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.510424413
Minimum	7.92
Maximum	8.9
Zeros	0
Zeros (%)	0.0%
Memory size	772.9 KiB

Quantile statistics

Minimum	7.92
5-th percentile	7.92
Q1	7.94
median	8.88
Q3	8.89
95-th percentile	8.9
Maximum	8.9
Range	0.98
Interquartile range (IQR)	0.95

Descriptive statistics

Standard deviation	0.4678629516
Coefficient of variation (CV)	0.05497527842
Kurtosis	-1.816316678
Mean	8.510424413
Median Absolute Deviation (MAD)	0.02
Skewness	-0.4273113469
Sum	841791.61
Variance	0.2188957415
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
8.88	22523	22.8%
8.89	21971	22.2%
7.93	16404	16.6%
7.94	15384	15.6%
8.9	15301	15.5%
7.92	7330	7.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7.92	7330	7.4%
7.93	16404	16.6%
7.94	15384	15.6%
8.88	22523	22.8%
8.89	21971	22.2%

Value	Count	Frequency (%)
8.9	15301	15.5%
8.89	21971	22.2%
8.88	22523	22.8%
7.94	15384	15.6%
7.93	16404	16.6%

countryCode
Categorical

HIGH CARDINALITY

Distinct	199
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	772.9 KiB

fr	25135
us	20602
gb	11310
it	8015
de	6567
Other values (194)	27284

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	197826
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	< 0.1%

Sample

1st row	gb
2nd row	mc
3rd row	fr
4th row	us
5th row	us

Value	Count	Frequency (%)
fr	25135	25.4%
us	20602	20.8%
gb	11310	11.4%
it	8015	8.1%
de	6567	6.6%
es	5706	5.8%
au	2719	2.7%
dk	1892	1.9%
se	1826	1.8%
be	1666	1.7%
Other values (189)	13475	13.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
fr	25135	25.4%
us	20602	20.8%
gb	11310	11.4%
it	8015	8.1%
de	6567	6.6%
es	5706	5.8%
au	2719	2.7%
dk	1892	1.9%
se	1826	1.8%
be	1666	1.7%
Other values (189)	13475	13.6%

Most occurring characters

Value	Count	Frequency (%)
s	28735	14.5%
r	26825	13.6%
f	25826	13.1%
u	24113	12.2%
e	16593	8.4%
b	13298	6.7%
g	12103	6.1%
i	9586	4.8%
t	9352	4.7%
d	8670	4.4%
Other values (16)	22725	11.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	197826	100.0%

Most frequent character per category

Value	Count	Frequency (%)
s	28735	14.5%
r	26825	13.6%
f	25826	13.1%
u	24113	12.2%
e	16593	8.4%
b	13298	6.7%
g	12103	6.1%
i	9586	4.8%
t	9352	4.7%
d	8670	4.4%
Other values (16)	22725	11.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	197826	100.0%

Most frequent character per script

Value	Count	Frequency (%)
s	28735	14.5%
r	26825	13.6%
f	25826	13.1%
u	24113	12.2%
e	16593	8.4%
b	13298	6.7%
g	12103	6.1%
i	9586	4.8%
t	9352	4.7%
d	8670	4.4%
Other values (16)	22725	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197826	100.0%

Most frequent character per block

Value	Count	Frequency (%)
s	28735	14.5%
r	26825	13.6%
f	25826	13.1%
u	24113	12.2%
e	16593	8.4%
b	13298	6.7%
g	12103	6.1%
i	9586	4.8%
t	9352	4.7%
d	8670	4.4%
Other values (16)	22725	11.5%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	identifierHash	language	socialNbFollowers	socialNbFollows	socialProductsLiked	productsListed	productsSold	productsPassRate	productsWished	productsBought	gender	civilityGenderId	civilityTitle	hasAnyApp	hasAndroidApp	hasIosApp	hasProfilePicture	daysSinceLastLogin	seniority	seniorityAsYears	countryCode
0	-1097895247965112460	en	147	10	77	26	174	74.0	104	1	M	1	mr	True	False	True	True	11	3196	8.88	gb
1	2347567364561867620	en	167	8	2	19	170	99.0	0	0	F	2	mrs	True	False	True	True	12	3204	8.90	mc
2	6870940546848049750	fr	137	13	60	33	163	94.0	10	3	F	2	mrs	True	False	True	False	11	3203	8.90	fr
3	-4640272621319568052	en	131	10	14	122	152	92.0	7	0	F	2	mrs	True	False	True	False	12	3198	8.88	us
4	-5175830994878542658	en	167	8	0	25	125	100.0	0	0	F	2	mrs	False	False	False	True	22	2854	7.93	us
5	7631788075812383072	de	130	12	1	47	123	91.0	0	0	F	2	mrs	True	False	True	False	11	3196	8.88	de
6	674361423306028463	en	121	0	1140	31	108	94.0	531	105	F	3	miss	True	True	False	False	11	3198	8.88	se
7	2550976450216757005	fr	53	9	3	5	106	98.0	0	0	F	2	mrs	True	False	True	True	11	2857	7.94	fr
8	3718185418791028367	it	744	13764	51671	0	104	85.0	1842	0	F	2	mrs	True	False	True	False	14	3195	8.88	it
9	3908244093584862523	en	57	8	45	123	92	74.0	6	2	F	3	miss	True	False	True	True	11	2856	7.93	gb

Last rows

	identifierHash	language	socialNbFollowers	socialNbFollows	socialProductsLiked	gender	civilityGenderId	civilityTitle	hasAnyApp	hasAndroidApp	hasIosApp	hasProfilePicture	daysSinceLastLogin	seniority	seniorityAsYears	countryCode
98903	-2219367748414812248	es	3	8	0	F	2	mrs	True	False	True	True	112	3204	8.9	es
98904	2896867688384676348	en	3	8	0	F	2	mrs	False	False	False	True	708	3204	8.9	gb
98905	3164321379397826945	en	3	8	6	F	2	mrs	False	False	False	True	655	3204	8.9	us
98906	-3379431417039360607	en	3	8	0	F	2	mrs	False	False	False	True	708	3204	8.9	ie
98907	-5212100190867739388	en	3	8	0	F	2	mrs	False	False	False	True	708	3204	8.9	us
98908	-5324380437900495747	fr	3	8	0	M	1	mr	False	False	False	True	708	3204	8.9	us
98909	-5607668753771114442	fr	3	8	0	M	1	mr	True	False	True	True	695	3204	8.9	fr
98910	350630276238833248	en	3	8	0	M	1	mr	True	True	False	True	520	3204	8.9	be
98911	2006580738726207028	it	3	8	0	F	2	mrs	False	False	False	True	267	3204	8.9	it
98912	-7621316584087253691	fr	3	8	0	M	1	mr	True	False	True	True	561	3204	8.9	gn

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows